Samuel Litwin

8.3k total citations
146 papers, 6.4k citations indexed

About

Samuel Litwin is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Samuel Litwin has authored 146 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Oncology, 48 papers in Molecular Biology and 29 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Samuel Litwin's work include Hepatitis B Virus Studies (13 papers), Lung Cancer Research Studies (13 papers) and Hepatitis C virus research (11 papers). Samuel Litwin is often cited by papers focused on Hepatitis B Virus Studies (13 papers), Lung Cancer Research Studies (13 papers) and Hepatitis C virus research (11 papers). Samuel Litwin collaborates with scholars based in United States, Australia and Russia. Samuel Litwin's co-authors include William S. Mason, Edward R. Sauter, Andres J. Klein–Szanto, Meenhard Herlyn, Allison R. Jilbert, Neville R. Kallenbach, S. W. Englander, A. J. Heeger, J. A. Krumhansl and Jesse Summers and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Samuel Litwin

144 papers receiving 6.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Samuel Litwin United States 44 2.3k 1.9k 1.5k 1.1k 995 146 6.4k
Julie M. Cherrington United States 52 3.7k 1.6× 2.3k 1.2× 1.8k 1.2× 1.8k 1.7× 610 0.6× 88 8.9k
Rex C. Bentley United States 49 2.7k 1.2× 1.6k 0.9× 885 0.6× 860 0.8× 827 0.8× 163 8.5k
Camille Laurent France 39 1.4k 0.6× 1.9k 1.0× 1.1k 0.7× 661 0.6× 1.6k 1.6× 283 6.5k
José Costa United States 40 1.4k 0.6× 2.6k 1.4× 1.1k 0.7× 2.5k 2.3× 885 0.9× 99 6.7k
Andrew T. Huang United States 38 1.3k 0.6× 1.7k 0.9× 507 0.3× 934 0.9× 497 0.5× 92 5.3k
P Stieber Germany 49 2.6k 1.1× 3.2k 1.7× 875 0.6× 1.4k 1.3× 265 0.3× 214 7.1k
Rebekah R. White United States 47 2.3k 1.0× 3.4k 1.8× 807 0.5× 1.3k 1.2× 414 0.4× 108 6.3k
Jens T. Siveke Germany 43 2.3k 1.0× 3.6k 1.9× 695 0.5× 935 0.9× 376 0.4× 236 6.8k
Gustavo Baretton Germany 46 2.5k 1.1× 3.0k 1.6× 571 0.4× 1.9k 1.7× 220 0.2× 312 7.3k
Kenneth K. Tanabe United States 58 3.2k 1.4× 4.4k 2.3× 2.6k 1.7× 2.0k 1.9× 2.9k 2.9× 236 11.6k

Countries citing papers authored by Samuel Litwin

Since Specialization
Citations

This map shows the geographic impact of Samuel Litwin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Samuel Litwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Litwin more than expected).

Fields of papers citing papers by Samuel Litwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel Litwin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Samuel Litwin. The network helps show where Samuel Litwin may publish in the future.

Co-authorship network of co-authors of Samuel Litwin

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Litwin. A scholar is included among the top collaborators of Samuel Litwin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel Litwin. Samuel Litwin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gou, Jiangtao, et al.. (2022). A fortune cookie problem: A test for nominal data whether two samples are from the same population of equally likely elements. Communication in Statistics- Theory and Methods. 53(9). 3063–3077. 1 indexed citations
2.
Ye, Shuai, Martin G. Belinsky, Jeffrey M. Farma, et al.. (2021). Combined Inhibition of AKT and KIT Restores Expression of Programmed Cell Death 4 (PDCD4) in Gastrointestinal Stromal Tumor. Cancers. 13(15). 3699–3699. 4 indexed citations
3.
Ye, Shuai, Lillian R. Klug, Martin G. Belinsky, et al.. (2020). Identification of Wee1 as a target in combination with avapritinib for gastrointestinal stromal tumor treatment. JCI Insight. 6(2). 6 indexed citations
4.
Litwin, Samuel, et al.. (2017). Two‐sample binary phase 2 trials with low type I error and low sample size. Statistics in Medicine. 36(9). 1383–1394. 5 indexed citations
5.
Ghatalia, Pooja, Samuel Litwin, Eric M. Horwitz, et al.. (2016). Small-Cell Carcinoma of the Bladder: 20-Year Single-Institution Retrospective Review. Clinical Genitourinary Cancer. 15(3). e337–e343. 16 indexed citations
6.
Gritsina, Galina, Fang Xiao, Shane W. O’Brien, et al.. (2015). Targeted Blockade of JAK/STAT3 Signaling Inhibits Ovarian Carcinoma Growth. Molecular Cancer Therapeutics. 14(4). 1035–1047. 84 indexed citations
7.
Xu, Jinfei, Yuwaraj Kadariya, Mitchell Cheung, et al.. (2014). Germline Mutation of Bap1 Accelerates Development of Asbestos-Induced Malignant Mesothelioma. Cancer Research. 74(16). 4388–4397. 107 indexed citations
8.
Haas, Naomi B., Ian Quirt, Sébastien J. Hotte, et al.. (2014). Phase II trial of vorinostat in advanced melanoma. Investigational New Drugs. 32(3). 526–534. 47 indexed citations
9.
Liu, Hanqing, Ilya G. Serebriiskii, Shane W. O’Brien, et al.. (2013). Network Analysis Identifies an HSP90-Central Hub Susceptible in Ovarian Cancer. Clinical Cancer Research. 19(18). 5053–5067. 41 indexed citations
10.
Macfarlane, Alexander W., Elizabeth R. Plimack, Gary R. Hudes, et al.. (2013). PD-1 Expression on Peripheral Blood Cells Increases with Stage in Renal Cell Carcinoma Patients and Is Rapidly Reduced after Surgical Tumor Resection. Cancer Immunology Research. 2(4). 320–331. 141 indexed citations
11.
Sohn, Ji A., Samuel Litwin, & Christoph Seeger. (2009). Mechanism for CCC DNA Synthesis in Hepadnaviruses. PLoS ONE. 4(11). e8093–e8093. 38 indexed citations
12.
Yeung, Anthony T., Xinming Li, Steven H. Seeholzer, et al.. (2008). One-Hit Effects in Cancer: Altered Proteome of Morphologically Normal Colon Crypts in Familial Adenomatous Polyposis. Cancer Research. 68(18). 7579–7586. 34 indexed citations
13.
Mabuchi, Seiji, Deborah A. Altomare, Denise C. Connolly, et al.. (2007). RAD001 (Everolimus) Delays Tumor Onset and Progression in a Transgenic Mouse Model of Ovarian Cancer. Cancer Research. 67(6). 2408–2413. 156 indexed citations
14.
Hensley, Harvey H., Bridget A. Quinn, Ronald L. Wolf, et al.. (2007). Magnetic resonance imaging for detection and determination of tumor volume in a genetically engineered mouse model of ovarian cancer. Cancer Biology & Therapy. 6(11). 1717–1725. 46 indexed citations
15.
Bassi, Daniela, Ricardo López de Cicco, Jonathan Cenna, et al.. (2005). PACE4 Expression in Mouse Basal Keratinocytes Results in Basement Membrane Disruption and Acceleration of Tumor Progression. Cancer Research. 65(16). 7310–7319. 42 indexed citations
16.
Summers, Jesse & Samuel Litwin. (2005). Examining The Theory of Error Catastrophe. Journal of Virology. 80(1). 20–26. 52 indexed citations
17.
Sauter, Edward R., et al.. (2002). p53 alone or in combination with antisense cyclin D1 induces apoptosis and reduces tumor size in human melanoma. Cancer Gene Therapy. 9(10). 807–812. 24 indexed citations
18.
Litwin, Samuel, et al.. (1995). How accurate is size measurement of pancreas cancer masses by computed axial tomography (CT) scanning?. PubMed. 61(8). 686–91. 11 indexed citations
19.
20.
Silberstein, Leslie E., Samuel Litwin, & Condie E. Carmack. (1989). Relationship of variable region genes expressed by a human B cell lymphoma secreting pathologic anti-Pr2 erythrocyte autoantibodies.. The Journal of Experimental Medicine. 169(5). 1631–1643. 54 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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